Reviews Module

The Reviews Module provides comprehensive review and reputation management capabilities, enabling businesses to monitor, manage, and optimize their online reputation across multiple platforms and review sites.

Brief Overview

The Reviews module is a sophisticated reputation management system that aggregates reviews from multiple platforms, provides automated response capabilities, sentiment analysis, and comprehensive reporting. It integrates with major review platforms like Google, Yelp, Facebook, and more to provide centralized reputation management.

Directory Structure

internal/api/v1/reviews/
├── index.js                # Module router and middleware setup
├── controllers/            # Request handlers
│   ├── index.js            # Controller exports
│   ├── reviews.js          # Review management
│   ├── platforms.js        # Platform integrations
│   ├── responses.js        # Automated responses
│   ├── analytics.js        # Review analytics
│   ├── monitoring.js       # Review monitoring
│   ├── sentiment.js        # Sentiment analysis
│   └── reports.js          # Reporting and insights
├── routes/                 # Route definitions
│   ├── reviews.js          # Review management routes
│   ├── platforms.js        # Platform routes
│   ├── responses.js        # Response routes
│   ├── analytics.js        # Analytics routes
│   ├── monitoring.js       # Monitoring routes
│   ├── sentiment.js        # Sentiment routes
│   └── reports.js          # Reporting routes
├── services/               # Business logic layer
│   ├── reviews.service.js        # Review processing logic
│   ├── platforms.service.js      # Platform integration logic
│   ├── responses.service.js      # Response automation logic
│   ├── analytics.service.js      # Analytics processing
│   ├── monitoring.service.js     # Monitoring automation
│   ├── sentiment.service.js      # Sentiment analysis logic
│   └── reports.service.js        # Report generation logic
├── validations/            # Joi validation schemas
│   ├── reviews.js          # Review validation
│   ├── platforms.js        # Platform validation
│   ├── responses.js        # Response validation
│   └── monitoring.js       # Monitoring validation
├── middlewares/            # Custom middleware
│   ├── review-auth.js      # Review access control
│   ├── platform-sync.js   # Platform synchronization
│   └── sentiment-cache.js  # Sentiment caching
├── utils/                  # Utility functions
│   ├── platform-scrapers.js # Review platform scrapers
│   ├── sentiment-analyzer.js # Sentiment analysis utilities
│   ├── response-generator.js # Automated response generation
│   └── review-aggregator.js  # Review aggregation utilities
└── tests/                  # Test suites
    ├── reviews.test.js     # Review management tests
    ├── platforms.test.js   # Platform integration tests
    └── analytics.test.js   # Analytics tests

MongoDB Collections Used

Primary Collections

• reviews.reviews - Aggregated reviews from all platforms
• reviews.platforms - Platform integration configurations
• reviews.responses - Automated and manual responses
• reviews.monitoring - Review monitoring configurations
• reviews.sentiment - Sentiment analysis results

Related Collections

• _accounts - Account-specific review settings and configurations
• activities - Review management activity tracking
• notification-queue - Review notifications and alerts
• analytics.reviews - Review performance and trend analytics
• _store.products - Review management product configurations
• _users - User permissions for review management

Data Flow & Workflow

Review Aggregation Flow

graph TD
    A[Review Monitoring] --> B[Platform Scraping]
    B --> C[Review Detection]
    C --> D[Data Extraction]
    D --> E[Sentiment Analysis]
    E --> F[Review Categorization]
    F --> G[Duplicate Detection]
    G --> H[Review Storage]

    H --> I[Queue Manager Processing]
    I --> J[Notification Generation]
    I --> K[Analytics Update]
    I --> L[Response Automation]

Response Automation Flow

graph TD
    A[New Review Detection] --> B[Sentiment Analysis]
    B --> C[Response Rule Evaluation]
    C --> D[Template Selection]
    D --> E[Response Generation]
    E --> F[Approval Workflow]
    F --> G[Response Posting]
    G --> H[Response Tracking]

    H --> I[Queue Manager Processing]
    I --> J[Response Analytics]
    I --> K[Performance Tracking]
    I --> L[Follow-up Scheduling]

Reputation Monitoring Flow

graph TD
    A[Monitoring Configuration] --> B[Platform Scanning]
    B --> C[Review Detection]
    C --> D[Threshold Analysis]
    D --> E[Alert Generation]
    E --> F[Stakeholder Notification]
    F --> G[Action Recommendations]
    G --> H[Reporting]

    H --> I[Queue Manager Processing]
    I --> J[Trend Analysis]
    I --> K[Performance Metrics]
    I --> L[Competitive Analysis]

Background Processing

Queue Manager Integration

The Reviews module extensively uses Queue Manager for comprehensive reputation management:

Review Scraping (QM_REVIEWS_SCRAPING=true)

• Automated review collection from multiple platforms
• Platform-specific scraping strategies
• Rate limiting and respectful crawling
• Data validation and cleaning

Sentiment Analysis (QM_REVIEWS_SENTIMENT=true)

• AI-powered sentiment analysis processing
• Review categorization and scoring
• Trend analysis and pattern detection
• Competitive sentiment benchmarking

Response Automation (QM_REVIEWS_RESPONSES=true)

• Automated response generation based on sentiment
• Template-based response customization
• Approval workflow processing
• Response scheduling and delivery

Monitoring & Alerts (QM_REVIEWS_MONITORING=true)

• Real-time review monitoring across platforms
• Threshold-based alert generation
• Crisis detection and rapid response
• Stakeholder notification management

Analytics Processing (QM_REVIEWS_ANALYTICS=true)

• Review performance analytics aggregation
• Reputation trend analysis and forecasting
• Competitive analysis and benchmarking
• ROI calculation for reputation management efforts

Reviews Submodules

The Reviews module can be organized into specialized submodules for comprehensive reputation management:

⭐ Review Aggregation

Multi-Platform Review Collection

• Automated review scraping from Google, Yelp, Facebook, and other platforms
• Real-time review monitoring and detection
• Review data normalization and standardization
• Duplicate review detection and filtering
• Review source verification and authenticity checks
• Historical review data collection and archiving

🤖 Sentiment Analysis

AI-Powered Review Analysis

• Advanced sentiment analysis using natural language processing
• Review categorization and topic extraction
• Emotion detection and customer satisfaction scoring
• Trend analysis and pattern recognition
• Competitive sentiment benchmarking
• Custom sentiment models for industry-specific analysis

💬 Response Management

Automated Review Response System

• AI-powered response generation based on review sentiment
• Template-based response customization and personalization
• Response approval workflow and team collaboration
• Multi-language response support and localization
• Response scheduling and optimal timing
• Response performance tracking and optimization

📊 Reputation Monitoring

Real-Time Reputation Tracking

• Continuous monitoring across multiple review platforms
• Configurable alert thresholds and notification systems
• Crisis detection and rapid response protocols
• Stakeholder notification and escalation workflows
• Reputation score calculation and trending
• Competitive reputation monitoring and benchmarking

📈 Analytics & Reporting

Reputation Performance Analytics

• Comprehensive reputation analytics and KPI tracking
• Review volume and rating trend analysis
• Customer satisfaction metrics and insights
• Response effectiveness and engagement analytics
• ROI calculation for reputation management efforts
• Custom reporting and executive dashboard creation

🔗 Platform Integration

Review Platform API Management

• Multi-platform API integration and management
• OAuth authentication and token management
• Rate limiting and API quota management
• Platform-specific data mapping and transformation
• Webhook integration for real-time updates
• Platform compliance and terms of service adherence